An efficient decoding of the (23, 12, 7) quadratic residue (QR) codes utilizing hashing search to find error patterns is presented in this study. The key idea behind the proposed decoding method is theoretically based on the existence of a one-to-one mapping between signal primary known syndromes properties and correctable error patterns. Compared with the binary search time approach, one of the advantages of utilizing this method presented in this study is that the hashing search table can be paralleled by VLSI design. This method would help reduce the hash table hardware for finding error patterns when decoding the (23, 12, 7) QR code. Ultimately, the proposed decoding algorithm for QR codes can be made regular, simple, and suitable for hardware implementations.